Neural network/conceptual clustering fraud detection architectur

Details Neural network/conceptual clustering fraud detection architectur Neural network/conceptual clustering fraud detection architectur

1996-02-05

1998-10-13

MacDonald, Allen R.

Data processing: artificial intelligence

Neural network

Learning task

705 31, G06F 1518

Patent

active

058227415

ABSTRACT:
The invention relates to an apparatus for detecting fraud using a neural network. The architecture of the system involves first employing a conceptual clustering technique to generate a collection of classes from historical data. Neural networks are provided for each class created by the clustering step and the networks are trained using the same historical data. This apparatus is particularly useful for detecting the incidence of fraudulent activity from very large amounts of data such as tax returns or insurance claims.

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